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15 - General Engineering

Brunel University London

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Output 197 of 258 in the submission

Article title

Probability-dependent gain-scheduled filtering for stochastic systems with missing measurements

Type

D - Journal article

DOI

10.1109/TCSII.2011.2168018

Title of journal

IEEE Transactions on Circuits and Systems II: Express Briefs

Article number

Volume number

Issue number

First page of article

753

ISSN of journal

1549-7747

Year of publication

2011

URL

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6078410

Number of additional authors

Additional information

This paper addresses a new filtering problem associated with the time-varying features of missing measurements. This work is being applied to my ongoing EPSRC project (EP/K006487/1) on dynamic state estimation of power systems based on Phasor Measurement Units (PMUs). PMUs are emerging devices that are being deployed in power networks due to their high frequency and accurate measurements (up to 60 measurements per second). However, for economic reasons, it is not affordable to replace all the existing measurement units with PMUs in the foreseeable future. This paper solves the challenging problem of dynamic state estimation with partial PMU measurements

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract